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Instead of relegating event data to training-time supervision, dynamic 3D Gaussians can execute active, real-time Markov state transitions directly driven by intervening raw event streams across ultra-sparse RGB keyframes.
Achieving state-of-the-art performance in both 4D reconstruction and point tracking, Uni4R leverages continuous velocity fields to model dynamics at any timestamp, breaking free from traditional limitations.
High-curvature regions in point clouds can be effectively represented by a novel hyperbolic rectification method that boosts discriminative power and captures fine geometric details.
